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See Pepper and Moore (2001), Section 2.3.2, XTM Mandatory Published Subject Indicators, for the specification of these.

OVERVIEW Today, computers and small devices are being used to access, from any location, an ever-increasing ood of Web information. As the size of the Web expands, and with it its information content, it is becoming more and more dif cult to search, access, maintain, and manage network resources. Creating machine-processable semantics could alleviate some of these dif culties. The resulting Semantic Web applications could provide intelligent access to heterogeneous, distributed information, enabling software products (and agents) to mediate between user needs and the information sources available. This chapter, describes some of the application areas for semantic technology. We focus on ongoing work in the elds of knowledge management and electronic commerce. Some opportunities for Semantic Web applications include Semantic Web Services, Semantic Search, e-Learning, Semantic Web and BioInformatics, Semantics-based Enterprise application and data integration, and Knowledge Base.

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For short-term trading I generally use either the equity or the futures market I select a stock that I am familiar with and do some homework I want to know the ATR of the stock Its ATR must be at least $100 I also want to know the liquidity; at least two to three million shares must trade each day What is the volatility, or beta I want a beta of at least 20 Then I look at the sector The stock must be trending in the same direction as the sector How is the stock trading in comparison to the general market I generally look for stocks that are trending with the market Why try to go against the trend I also determine the personality of the particular stock.

In the 1990s, the casinos and the designers of gambling machines hadn t yet figured out some things that later became obvious. A pseudo random number generator doesn t actually generate random numbers. Instead, it in effect warehouses a list of numbers in a random order. In this case, a very long list: 2 to the 32nd power, or over four billion numbers. At the start of a cycle, the software randomly selects a place in the list. But after that, until it starts a new cycle of play, it uses the ensuing numbers from the list one after the other. By reverse-engineering the software, the guys had obtained the list. From any known point in the random list, they could determine every subsequent number in the list, and with the additional knowledge about the iteration rate of a particular machine, they could determine how long in minutes and seconds before the machine would display a royal flush.

When is it most active What are its particular trading patterns or unique traits Once I find a stock that meets all of my criteria, I tend to trade it often However, be careful not to marry a stock Never think that the agreement is until death do us part Trade it when it is profitable to do so and leave it when it is not There are many stocks that meet my criteria If one of my favorites falls out of favor, I simply select another one In addition to equity markets, I also trade index futures for short-term profits Before trading these products, be sure you understand and are able to assume the unique risks These are leveraged products For that reason, however, there is the possibility to make a lot of money here.

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